DEMO8089 Survey Data Analysis II
| Offered By | Australian Demographic & Social Research Institute |
|---|---|
| Academic Career | Graduate Coursework |
| Course Subject | Demography |
| Offered in | First Semester, 2011 and First Semester, 2012 |
| Unit Value | 6 units |
| Course Description |
This course will provide students with an introduction to advanced topics in survey data analysis. In Survey Data Analysis DEMO8014 students are introduced to basic multivariate statistical methods for analysing survey data. The present course will provide several important extensions: (1) dealing with sample selection bias and endogeneity bias in survey data (instrumental variable regression and Heckman selection correction); (2) using panel data to control for unobserved heterogeneity (fixed effects and random effects models); (3) modelling the time to an event (survival analysis) and (4) multi-level modelling for hierarchical or clustered data. Participants will gain experience in using the Stata statistical software package to apply these methods to survey data. |
| Learning Outcomes |
By the end of this course, students should be able to: 1. Identify when sample selection bias and endogeneity bias are likely to be significant problems in cross-sectional data, what are their impacts, and how to control for them. 2. Understand how panel data can be used to control for unobserved heterogeneity (a potential cause of endogeneity bias in cross-sectional data). 3. Know how to model the dynamics of cross-sectional populations using survival analysis. 4. Recognise the hierarchical/clustered structure of many social science datasets and the advantages of multi-level models for working with such data. |
| Indicative Assessment |
four tutorial exercises/assignments (15% each) one written examination (40%) |
| Workload |
One ninety minute lecture and one ninety minute tutorial / computer training session each week. |
| Course Classification(s) | AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. |
| Requisite Statement |
DEMO8014 Survey Data Analysis with a grade of 75% or better, OR relevant background in Statistics AND knowledge of SPSS, Stata or SAS. |
| Recommended Courses |
DEMO8014 Survey Data Analysis with a grade of 75% or better, OR relevant background in Statistics AND knowledge of SPSS, Stata or SAS. |
| Prescribed Texts |
Jeffrey Wooldridge: Introductory Econometrics: A Modern Approach, 4th Edition Sophia Rabe-Hesketh and Anders Skrondal: Multilevel and Longitudinal Modeling Using Stata Mario Cleves, William W. Gould, Roberto G. Gutierrez, and Yulia Marchenko: An Introduction to Survival Analysis Using Stata, 2nd Edition |
| Academic Contact | robert.ackland@anu.edu.au |
The information published on the Study at ANU 2011 website applies to the 2011 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2010 website.
